Machine Learning For Real World Applications
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Realworld Machine Learning For Software Leaders
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Author : Sachin Medavarapu
language : en
Publisher: Notion Press
Release Date : 2025-04-12
Realworld Machine Learning For Software Leaders written by Sachin Medavarapu and has been published by Notion Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-12 with Education categories.
Machine learning is revolutionizing industries, yet many professionals struggle to bridge the gap between abstract theories and realworld applications. RealWorld Machine Learning for Software Leaders is a practical guide for software professionals, technology executives, and decisionmakers to understand and apply machine learning in real business environments. This book offers a clear, structured approach to machine learning, focusing on realworld applications rather than complex mathematics. It covers concepts like classification techniques, support vector machines, decision trees, ensemble learning, deep learning, natural language processing, and reinforcement learning. Whether you're a technology leader integrating machine learning into your organization, a software engineer seeking practical applications, or a business strategist exploring AIdriven solutions, this book will provide the knowledge needed to make informed decisions. Key Highlights: Understand how machine learning is applied in software engineering and business contexts. Gain insights into critical ML techniques and practical use cases. Learn about the challenges and considerations of implementing AI solutions. Explore realworld examples of machine learning across industries. This book is essential for those looking to leverage machine learning to drive innovation and strategic growth.
Machine Learning And Deep Learning In Real Time Applications
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Author : Mahrishi, Mehul
language : en
Publisher: IGI Global
Release Date : 2020-04-24
Machine Learning And Deep Learning In Real Time Applications written by Mahrishi, Mehul and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-04-24 with Computers categories.
Artificial intelligence and its various components are rapidly engulfing almost every professional industry. Specific features of AI that have proven to be vital solutions to numerous real-world issues are machine learning and deep learning. These intelligent agents unlock higher levels of performance and efficiency, creating a wide span of industrial applications. However, there is a lack of research on the specific uses of machine/deep learning in the professional realm. Machine Learning and Deep Learning in Real-Time Applications provides emerging research exploring the theoretical and practical aspects of machine learning and deep learning and their implementations as well as their ability to solve real-world problems within several professional disciplines including healthcare, business, and computer science. Featuring coverage on a broad range of topics such as image processing, medical improvements, and smart grids, this book is ideally designed for researchers, academicians, scientists, industry experts, scholars, IT professionals, engineers, and students seeking current research on the multifaceted uses and implementations of machine learning and deep learning across the globe.
Machine Learning Fundamentals Theory Algorithms And Real World Applications
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Author : Dr.V.Kumaresan
language : en
Publisher: Leilani Katie Publication
Release Date : 2025-05-03
Machine Learning Fundamentals Theory Algorithms And Real World Applications written by Dr.V.Kumaresan and has been published by Leilani Katie Publication this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-03 with Computers categories.
Dr.V.Kumaresan, Assistant Professor, Department of Computer Science, Arignar Anna Government Arts College, Namakkal, Tamil Nadu, India. Dr. Mukta Makhija, Professor, Assistant Dean - IT, Head - Research and Innovation Cell, Department of Computer Applications, Integrated Academy of Management and Technology((INMANTEC), Ghaziabad, Uttar Pradesh, India. Prof.Kamal Nain, Assistant Professor, Department of Information Technology, Integrated Academy of Management and Technology (INMANTEC), Ghaziabad, Uttar Pradesh, India. Dr.V.A.Jane, Assistant Professor, Department of B.Voc SD and SA, St. Joseph's College (Autonomous), Tiruchirapalli , Tamil Nadu, India. Dr.G.Stephen, Assistant Librarian, St. Xavier's University, Kolkata, West Bengal.
Real World Applications Of Quantum Computers And Machine Intelligence
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Author : Ananth, Christo
language : en
Publisher: IGI Global
Release Date : 2024-12-27
Real World Applications Of Quantum Computers And Machine Intelligence written by Ananth, Christo and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-27 with Computers categories.
The emergence of quantum computing promises a monumental shift in technological capabilities, poised to revolutionize various fields where traditional computing methods may fall short. Quantum computing's potential spans a wide spectrum of applications, from enhancing cryptography to revolutionizing climate modeling and drug discovery. Major corporations are integrating quantum computing into artificial intelligence research, marking a pivotal shift from traditional computing methods. Real-World Applications of Quantum Computers and Machine Intelligence explores practical examples in quantum computing and machine learning for various industry revolutions. By contrasting quantum computing with conventional data mining systems, this book offers insights into the transformative potential of quantum computing, enabling the development of new techniques for real-time problem-solving and innovation. This book covers topics such as deep neural networks, environmental technologies, and machine learning, and is a useful resource for computer engineers, industry professionals, researchers, academicians, scientists, business owners, and healthcare workers.
Artificial Intelligence And Machine Learning For Real World Applications
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Author : LATESH. ARORA MALIK (SANDHYA. SHRAWANKAR, URMILA.)
language : en
Publisher:
Release Date : 2025-10-14
Artificial Intelligence And Machine Learning For Real World Applications written by LATESH. ARORA MALIK (SANDHYA. SHRAWANKAR, URMILA.) and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-10-14 with Computers categories.
This book introduces foundational and advanced concepts in artificial intelligence and machine learning, focusing on their real-world applications and societal implications. Covering topics from knowledge representation and model interpretability to deep learning and Generative AI, it includes practical Python implementations and case studies from healthcare, agriculture, and education. Beginning with core concepts such as AI fundamentals, knowledge representation, and statistical techniques, it gradually advances to cover machine learning algorithms, deep learning architectures, and the basics of Generative AI. Detailed discussions of data preprocessing, model training, evaluation metrics, and Python-based implementation make this book both practical and accessible. Offers real-world examples and case studies illustrating the societal impact and practical applications of AI and ML technologies Discusses data pre-processing techniques, model selection, and evaluation metrics, with practical implementation in Python and in detail Explores AI problem-solving processes, knowledge representation, and model training strategies, catering to readers with varying levels of technical expertise Covers AI and ML principles, spanning statistical techniques, machine learning algorithms, deep learning structures and Generative AI basics. Focuses on societal applications in healthcare, agriculture, and education, addressing challenges faced by elderly and special needs individuals This book is for professionals, researchers and scholars interested in the application of artificial intelligence and machine learning.
Machine Learning And Its Application A Quick Guide For Beginners
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Author : Indranath Chatterjee
language : en
Publisher: Bentham Science Publishers
Release Date : 2021-12-22
Machine Learning And Its Application A Quick Guide For Beginners written by Indranath Chatterjee and has been published by Bentham Science Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-12-22 with Computers categories.
Machine Learning and Its Application: A Quick Guide for Beginners aims to cover most of the core topics required for study in machine learning curricula included in university and college courses. The textbook introduces readers to central concepts in machine learning and artificial intelligence, which include the types of machine learning algorithms and the statistical knowledge required for devising relevant computer algorithms. The book also covers advanced topics such as deep learning and feature engineering. Key features: - 8 organized chapters on core concepts of machine learning for learners - Accessible text for beginners unfamiliar with complex mathematical concepts - Introductory topics are included, including supervised learning, unsupervised learning, reinforcement learning and predictive statistics - Advanced topics such as deep learning and feature engineering provide additional information - Introduces readers to python programming with examples of code for understanding and practice - Includes a summary of the text and a dedicated section for references Machine Learning and Its Application: A Quick Guide for Beginners is an essential book for students and learners who want to understand the basics of machine learning and equip themselves with the knowledge to write algorithms for intelligent data processing applications.
Machine Learning Applications
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Author : Indranath Chatterjee
language : en
Publisher: John Wiley & Sons
Release Date : 2023-12-08
Machine Learning Applications written by Indranath Chatterjee and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-12-08 with Computers categories.
Machine Learning Applications Practical resource on the importance of Machine Learning and Deep Learning applications in various technologies and real-world situations Machine Learning Applications discusses methodological advancements of machine learning and deep learning, presents applications in image processing, including face and vehicle detection, image classification, object detection, image segmentation, and delivers real-world applications in healthcare to identify diseases and diagnosis, such as creating smart health records and medical imaging diagnosis, and provides real-world examples, case studies, use cases, and techniques to enable the reader’s active learning. Composed of 13 chapters, this book also introduces real-world applications of machine and deep learning in blockchain technology, cyber security, and climate change. An explanation of AI and robotic applications in mechanical design is also discussed, including robot-assisted surgeries, security, and space exploration. The book describes the importance of each subject area and detail why they are so important to us from a societal and human perspective. Edited by two highly qualified academics and contributed to by established thought leaders in their respective fields, Machine Learning Applications includes information on: Content based medical image retrieval (CBMIR), covering face and vehicle detection, multi-resolution and multisource analysis, manifold and image processing, and morphological processing Smart medicine, including machine learning and artificial intelligence in medicine, risk identification, tailored interventions, and association rules AI and robotics application for transportation and infrastructure (e.g., autonomous cars and smart cities), along with global warming and climate change Identifying diseases and diagnosis, drug discovery and manufacturing, medical imaging diagnosis, personalized medicine, and smart health records With its practical approach to the subject, Machine Learning Applications is an ideal resource for professionals working with smart technologies such as machine and deep learning, AI, IoT, and other wireless communications; it is also highly suitable for professionals working in robotics, computer vision, cyber security and more.
Intelligent Data Analysis For Real Life Applications Theory And Practice
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Author : Magdalena-Benedito, Rafael
language : en
Publisher: IGI Global
Release Date : 2012-06-30
Intelligent Data Analysis For Real Life Applications Theory And Practice written by Magdalena-Benedito, Rafael and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-06-30 with Computers categories.
With the recent and enormous increase in the amount of available data sets of all kinds, applying effective and efficient techniques for analyzing and extracting information from that data has become a crucial task. Intelligent Data Analysis for Real-Life Applications: Theory and Practice investigates the application of Intelligent Data Analysis (IDA) to these data sets through the design and development of algorithms and techniques to extract knowledge from databases. This pivotal reference explores practical applications of IDA, and it is essential for academic and research libraries as well as students, researchers, and educators in data analysis, application development, and database management.
Deep Learning And Natural Language Processing Based Real Time Applications
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Author : Mandakini Chagamreddy
language : en
Publisher: Archers & Elevators Publishing House
Release Date :
Deep Learning And Natural Language Processing Based Real Time Applications written by Mandakini Chagamreddy and has been published by Archers & Elevators Publishing House this book supported file pdf, txt, epub, kindle and other format this book has been release on with Antiques & Collectibles categories.
Challenges And Applications For Implementing Machine Learning In Computer Vision
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Author : Kashyap, Ramgopal
language : en
Publisher: IGI Global
Release Date : 2019-10-04
Challenges And Applications For Implementing Machine Learning In Computer Vision written by Kashyap, Ramgopal and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-10-04 with Computers categories.
Machine learning allows for non-conventional and productive answers for issues within various fields, including problems related to visually perceptive computers. Applying these strategies and algorithms to the area of computer vision allows for higher achievement in tasks such as spatial recognition, big data collection, and image processing. There is a need for research that seeks to understand the development and efficiency of current methods that enable machines to see. Challenges and Applications for Implementing Machine Learning in Computer Vision is a collection of innovative research that combines theory and practice on adopting the latest deep learning advancements for machines capable of visual processing. Highlighting a wide range of topics such as video segmentation, object recognition, and 3D modelling, this publication is ideally designed for computer scientists, medical professionals, computer engineers, information technology practitioners, industry experts, scholars, researchers, and students seeking current research on the utilization of evolving computer vision techniques.